tf.keras.ops.amin

Returns the minimum of an array or minimum value along an axis.

Main aliases

tf.keras.ops.numpy.amin

tf.keras.ops.amin(
    x, axis=None, keepdims=False
)

Args
`x`	Input tensor.
`axis`	Axis along which to compute the minimum. By default (`axis=None`), find the minimum value in all the dimensions of the input array.
`keepdims`	If `True`, axes which are reduced are left in the result as dimensions that are broadcast to the size of the original input tensor. Defaults to `False`.

Returns
An array with the minimum value. If `axis=None`, the result is a scalar value representing the minimum element in the entire array. If `axis` is given, the result is an array with the minimum values along the specified axis.

x = keras.ops.convert_to_tensor([1, 3, 5, 2, 3, 6])
keras.ops.amin(x)
array(1, dtype=int32)

x = keras.ops.convert_to_tensor([[1, 6, 8], [7, 5, 3]])
keras.ops.amin(x, axis=0)
array([1,5,3], dtype=int32)

x = keras.ops.convert_to_tensor([[1, 6, 8], [7, 5, 3]])
keras.ops.amin(x, axis=1, keepdims=True)
array([[1],[3]], dtype=int32)

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2024-06-07 UTC.

Args